How to build a predictive model on normalized data
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I have a dataset of accounts that contain a number of users that share a subscription to a product (think Netflix family account or something like that). In order to predict whether an account will be cancelled or not I want to use the traffic patterns of each one of the users.
Is there an algorithm out there that can take the normalised data as is to generate predictions on whether the account will be cancelled?
I'm aware of the several techniques of feature generation that could be used to denormalize the data, but it would be extremely useful if a model (or models) could be built with the data as is.
Thanks!
predictive-modeling
asked 2 hours ago
Senor GonzalezSenor Gonzalez
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add a comment |
$begingroup$
I have a dataset of accounts that contain a number of users that share a subscription to a product (think Netflix family account or something like that). In order to predict whether an account will be cancelled or not I want to use the traffic patterns of each one of the users.
Is there an algorithm out there that can take the normalised data as is to generate predictions on whether the account will be cancelled?
I'm aware of the several techniques of feature generation that could be used to denormalize the data, but it would be extremely useful if a model (or models) could be built with the data as is.
Thanks!
predictive-modeling
asked 2 hours ago
Senor GonzalezSenor Gonzalez
1
New contributor
Senor Gonzalez is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
$begingroup$
Could you precise what you mean by normalized data. For me normalized data is more about rescaling the data between 0 and 1 but it doesn't seems to be what you are talking about here.
$endgroup$
– Robin Nicole
19 mins ago
add a comment |
$begingroup$
I have a dataset of accounts that contain a number of users that share a subscription to a product (think Netflix family account or something like that). In order to predict whether an account will be cancelled or not I want to use the traffic patterns of each one of the users.
Is there an algorithm out there that can take the normalised data as is to generate predictions on whether the account will be cancelled?
I'm aware of the several techniques of feature generation that could be used to denormalize the data, but it would be extremely useful if a model (or models) could be built with the data as is.
Thanks!
predictive-modeling
asked 2 hours ago
Senor GonzalezSenor Gonzalez
1
New contributor
Senor Gonzalez is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I have a dataset of accounts that contain a number of users that share a subscription to a product (think Netflix family account or something like that). In order to predict whether an account will be cancelled or not I want to use the traffic patterns of each one of the users.
Is there an algorithm out there that can take the normalised data as is to generate predictions on whether the account will be cancelled?
I'm aware of the several techniques of feature generation that could be used to denormalize the data, but it would be extremely useful if a model (or models) could be built with the data as is.
Thanks!
predictive-modeling
predictive-modeling
asked 2 hours ago
Senor GonzalezSenor Gonzalez
1
New contributor
Senor Gonzalez is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 hours ago
Senor GonzalezSenor Gonzalez
1
New contributor
Senor Gonzalez is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 hours ago
Senor GonzalezSenor Gonzalez
1
New contributor
Senor Gonzalez is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 hours ago
Senor GonzalezSenor Gonzalez
1
asked 2 hours ago
Senor GonzalezSenor Gonzalez
1
1
New contributor
Senor Gonzalez is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Senor Gonzalez is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Senor Gonzalez is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$begingroup$
Could you precise what you mean by normalized data. For me normalized data is more about rescaling the data between 0 and 1 but it doesn't seems to be what you are talking about here.
$endgroup$
– Robin Nicole
19 mins ago
add a comment |
$begingroup$
Could you precise what you mean by normalized data. For me normalized data is more about rescaling the data between 0 and 1 but it doesn't seems to be what you are talking about here.
$endgroup$
– Robin Nicole
19 mins ago
$begingroup$
Could you precise what you mean by normalized data. For me normalized data is more about rescaling the data between 0 and 1 but it doesn't seems to be what you are talking about here.
$endgroup$
– Robin Nicole
19 mins ago
$begingroup$
Could you precise what you mean by normalized data. For me normalized data is more about rescaling the data between 0 and 1 but it doesn't seems to be what you are talking about here.
$endgroup$
– Robin Nicole
19 mins ago
add a comment |
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$begingroup$
Could you precise what you mean by normalized data. For me normalized data is more about rescaling the data between 0 and 1 but it doesn't seems to be what you are talking about here.
$endgroup$
– Robin Nicole
19 mins ago